At Fraunhofer IWM, we specialize in the development of innovative materials and processes that drive advancements across various industries. Our team of dedicated researchers and engineers collaborates closely with partners to solve complex challenges, enhancing both product performance and sustainability. We take pride in our state-of-the-art facilities and cutting-edge technologies, which enable us to conduct applied research that translates into real-world applications. Together, we aim to shape the future of material sciences and engineering, fostering a culture of innovation and collaboration.
Areas of activity
Data technologies, data ecosystems and cross-linking
Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologies(AI based) Material and Product Design, Decomposition and SeparationApproaches to support SME fully exploit the value of existing CVC-related dataDesign of an adaptable Digital Product Pass
Other enabling technologies
Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains(Advanced) Materials and additive manufacturingLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)